Results 41 to 50 of about 155,627 (235)
Journal of Intelligent Systems, 2017 With the extensive application of spatial databases to various fields ranging from remote sensing to geographical information systems, computer cartography, environmental assessment, and planning, discovery of interesting and hidden knowledge in the ...
Jayababu Y., Varma G.P.S., Govardhan A.
doaj +1 more source
Multi-Source Multi-View Clustering via Discrepancy Penalty
, 2016 With the advance of technology, entities can be observed in multiple views. Multiple views containing different types of features can be used for clustering.
He, Lifang +3 more
core +1 more source
Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones
Advanced Engineering Materials, EarlyView.A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell +3 more
wiley +1 more source
Remote Sensing, 2020 In this paper, superpixel features and extended multi-attribute profiles (EMAPs) are embedded in a multiple kernel learning framework to simultaneously exploit the local and multiscale information in both spatial and spectral dimensions for hyperspectral
Lei Pan, Chengxun He, Yang Xiang, Le Sun
doaj +1 more source
IEEE Access, 2022 Previous natural image segmentation algorithms through subspace learning method have over-segmentation issues in the pre-segmentation process, which will compromise the edge information, and the subspace learning model cannot effectively utilize the ...
Li Li +4 more
doaj +1 more source
Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning
, 2017 Leveraging class semantic descriptions and examples of known objects, zero-shot learning makes it possible to train a recognition model for an object class whose examples are not available.
Changpinyo, Soravit +2 more
core +1 more source
Multimodal Data‐Driven Microstructure Characterization
Advanced Engineering Materials, EarlyView.A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
A novel multiple kernel fuzzy topic modeling technique for biomedical data
BMC Bioinformatics, 2022 Background Text mining in the biomedical field has received much attention and regarded as the important research area since a lot of biomedical data is in text format.
Junaid Rashid +4 more
doaj +1 more source
Similarity Learning via Kernel Preserving Embedding
, 2019 Data similarity is a key concept in many data-driven applications. Many algorithms are sensitive to similarity measures. To tackle this fundamental problem, automatically learning of similarity information from data via self-expression has been developed
Kang, Zhao +4 more
core +1 more source
Influence of Test Temperature and Test Frequency on Fatigue Life of Aluminum Alloy EN AW‐2618A
Advanced Engineering Materials, EarlyView.The influence of test temperature and test frequency on the fatigue life of EN AW‐2618A is investigated. High‐cycle fatigue tests are performed at different test temperatures and frequencies on the 1000 h/230°C overaged state. Both test parameters reduce fatigue life due to time‐dependent damage mechanisms.
Ying Han +5 more
wiley +1 more source